Big Data Engineer (Analytics) Job Opportunity

Company Description

Founded and headquartered in Switzerland, Avaloq is rapidly expanding its global footprint. With around 2,500 colleagues across 12 countries, and more than 160 clients in 35 countries, we are a world leader in wealth management technology and services. We cater to financial institutions globally, including private banks, wealth managers, investment managers, and both retail and neo banks. Our research-led approach and relentless innovation are driven by the passion and creativity of our team members.

We're always on the lookout for talented individuals to join us in orchestrating the financial ecosystem and democratizing access to wealth management. Avaloq offers a unique opportunity to collaborate with some of the world’s leading financial institutions, allowing you to shape and develop your career. In our supportive and flexible work environment, our colleagues are empowered to reach their full potential.

Job Description

We are the Analytics domain team, helping financial institutions to easily adopt, use, and analyze data from our Avaloq products within a diverse ecosystem. We prioritize our colleagues, consider thinking differently an asset, and put customer experience at the forefront of our design thinking. Join us to drive interactions and collaborations with existing and potential clients through your business acumen and technical expertise.

Your Key Tasks

• Collaborate closely with Product Owners, Business Analysts, and Software Engineers globally.
• Implement Data Pipelines and Data Analytics - Big data exploration, extraction, processing, and ingestion into various SQL and NonSQL storage systems.
• Design, develop, and maintain new and existing solutions within the team’s responsibility.
• Improve and optimize existing functionalities.
• Develop and maintain automated tests.
• Take ownership and responsibility for your area of expertise.
• Ensure high-quality delivery and efficient communication.

Qualifications

• University degree in Computer Science, Physics, Engineering, Mathematics, or a comparable field.
• At least 2-3 years of work experience in the fintech or financial sector.
• Practical experience implementing container platforms, preferably OpenShift/Kubernetes.
• Familiarity with streaming technology like Kafka, Kafka Connect.
• Analytical, problem-solving, and conceptual skills.
• Competence in one or more programming and scripting languages.
• Fluency in spoken and written English.
• Experience in Big Data/Data Analytics productive environments using technologies like distributed SQL engines/file systems.
• Experience in Stream Processing, Streaming Data, and Data Pipelines.

Bonus Skills

• Experience with Distributed SQL engines.
• Experience in implementing Microservices.
• Hands-on experience with Snowflake.
• Understanding of data visualization using software like Tableau, Qlik, PowerBI, Yellowfin.
• Practical experience in Infrastructure as Code such as Terraform.
• Knowledge of JavaScript and Python.
• Work experience in Agile Scrum teams.
• Expertise in data warehousing, modeling, and data management tools.

Additional Information

We understand the challenges of managing work-life balance, and to support this, we offer hybrid and flexible working options for most of our Avaloqers. At Avaloq, we value diversity and believe the success of our business is fueled by varying opinions. We are committed to fostering an equal opportunity environment and an inclusive culture where you can truly be yourself. We hire, compensate, and promote regardless of origin, age, gender identity, sexual orientation, or any other traits that make us unique. Please note, we will not accept speculative CV submissions for any roles from recruitment agencies, and unsolicited candidate submissions will be exempt from any payment expectations.

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